Seasonal Patterns of Viromes in Urban Aquatic Environments of Manitoba
Notice bibliographique
Résumé
ABSTRACT Although wastewater and treatment plants harbor many pathogenic organisms’ traditional methods that monitor the microbial quality of wastewater have not changed since the early 1900s and often disregard the presence of other types of significant waterborne pathogens such as viruses. Using advanced technology, our study aims to characterize the taxonomy, functional profiling and seasonal patterns of viral DNA and RNA community structures using metagenomics and quantitative-PCR, for the purpose of establishing the virome distribution in aquatic environment’s receiving wastewater discharge. Environmental water samples were collected at 11 locations in Winnipeg, Manitoba along the Red and Assiniboine Rivers during the Spring, Summer and Fall 2021. Samples were filtered and underwent skimmed milk flocculation for viral concentration. The taxonomic classification of DNA viruses identified from the RefSeq database (available from MG-RAST) and Kraken 2 Viral Genome database were predominately DNA bacteriophages ( Myoviridae, Podoviridae and Siphoviridae ) which accounted for approximately 90% of each aquatic sample location along the Red and Assiniboine Rivers. Phage related functionalities such as phage tail fiber proteins, phage replication, and phage packaging machinery accounted for 40% of each aquatic samples collected which possibly correspond to the DNA phages that were previously identified. RNA phages such as Cystoviridae and Leviviridae were identified to a lesser extent accounting for approximately 3 % of each aquatic sample collected, while other viruses such as Virgaviridae, Retroviridae, Picobirnaviridae and Partiviridae accounted for 7%–100% of aquatic samples. The functionalities of RNA viruses were primarily related to metabolic pathways such as potassium homeostasis, respiratory complexes and sialic acid metabolism, essential for RNA viruses to survive in their host. IMPORTANCE Municipal wastewater effluents discharged into the Red and Assiniboine Rivers of Winnipeg, Manitoba relies on traditional methods that monitor the microbial quality of wastewater focus solely on the detection of fecal bacteria, which are not necessarily good indicators of viruses or other pathogens. There is also a lack of current wastewater system effluent regulations at the federal and provincial level. Furthermore, previous literature has shown that when viral DNA and RNA sequences are blasted against current genomic databases, approximately 50 % of the viral reads are classified as unknown. The significance of our research in characterizing the virome distribution in aquatic environments addresses a knowledge gap in the current effluent guidelines and a need for regulatory practices. In the long run, fecal indicator bacteria combined with the detection of enteric viruses, may complement assessment of water quality in effluents discharged into rivers.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».